Work

Data driven design of compositionally complex energy materials

Year: 2023

Type: article

Source: Computational Materials Science

DOI: 10.1016/j.commatsci.2023.112513

Authors: Lin Wang, Zhengda He, Bin Ouyang

Institution: Florida State University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Florida State University

OpenAlex ID: W4387199899

FWCI: 0.915

Cites: 93

Cited by: 13

Related to: 10